walledai/AART
AART AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications (Radharapu et al. 2023) Abstract Adversarial testing of large language models (LLMs) is crucial for their safe and responsible deployment. We introduce a novel approach for automated generation of adversarial evaluation datasets to test the safety of LLM generations on new downstream applications. We call it AI-assisted Red-Teaming (AART) - an automated alternative to current… See the full description on the dataset page: https://huggingface.co/datasets/walledai/AART.
| Author / organization | walledai |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 153 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 3 July 2024 |
| Last updated at source | 18 October 2024 |
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